MTA Seeks AI Cameras to Detect Subway Track Hazards

The transit agency wants a company to install AI camera systems on train fronts to alert operators to people and objects on the tracks.

Updated on Nov. 13, 2026 in Artificial Intelligence

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The MTA published documents last month seeking a company to install AI camera systems on subway train fronts to alert operators to track hazards. AI Illustration. Upload story photo >

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The MTA published documents last month seeking a company to install AI camera systems on the front of subway train cars. The system would alert train operators to hazards on the right of way, and the agency plans to spend between $5 million and $10 million on testing.

Why it matters

Dozens of people have died in recent years after being shoved or deliberately placed onto subway tracks, and the technology could help prevent such deaths. The proposal is part of the agency's wider track safety efforts following the death of an MTA track worker earlier this year.

The camera system is designed to track erratic passenger movement along platform edges and on the right of way, and it would be installed on the front of a train car for testing and then removed. The MTA has not yet specified the detection performance of the system.

The players

Metropolitan Transportation Authority (MTA)

The MTA is the New York state public authority that operates the New York City subway, the largest rapid transit system in the United States by number of stations.

Federal Railroad Administration (FRA)

The FRA is the U.S. Department of Transportation agency responsible for regulating rail safety across the country's railroads.

The details

The MTA is seeking a company to install the camera system on a train car for testing, after which the equipment would be uninstalled. The technology can track erratic passenger movement on subway platform edges and alert the train operator to hazards. The agency wants to eventually roll the technology out across its fleet of subway trains if testing succeeds.

Timeline

  1. 2021: The MTA launched a track trespassing task force and reported 68 people died while trespassing on subway tracks.

  2. 2024: The Federal Railroad Administration announced a $32 million grant for track-intrusion technology.

  3. Earlier in 2026: An MTA track worker was killed after being struck by a train.

  4. October 2026: The MTA published documents describing the AI camera plan.

Roadmap

The proposal extends the MTA's 2021 track trespassing task force, which followed 68 trespass deaths that year, and builds on the metal barriers installed at more than 150 subway stations. It marks a shift from fixed platform barriers toward onboard detection technology that operators can act on in real time.

If the testing succeeds, subway riders could benefit from faster hazard detection and fewer track-related incidents at platform edges. The cost and timeline of any system-wide rollout will depend on the results of the $5 million to $10 million test phase.

The takeaway

Transit safety technology is moving from fixed barriers toward systems that watch the track itself, and New York's test will show whether AI detection can reliably prevent deaths. Readers who ride the subway can expect any rollout to be phased and evaluated before it reaches the full fleet.

Further reading

For more on how artificial intelligence is being applied to public infrastructure, see Artificial Intelligence coverage.

Source note: This article includes information reported by Gothamist.

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